Mask

A mask in the context of machine learning and neural networks is a tool that selectively controls which parts of data or calculations are active or visible during processing. It works like a filter, allowing certain data points to influence the model while ignoring others. For example, in sequential data like text or time series, masks can hide irrelevant or missing information, helping the model focus on meaningful patterns. This technique enhances model performance and efficiency by managing data flow, ensuring that only the important information contributes to the learning process.